#!/usr/bin/env python3 -m pytest

import os
import sys

import pytest

import autogen
from autogen.agentchat import AssistantAgent, UserProxyAgent

sys.path.append(os.path.join(os.path.dirname(__file__), ".."))
from conftest import reason, skip_openai  # noqa: E402

KEY_LOC = "notebook"
OAI_CONFIG_LIST = "OAI_CONFIG_LIST"
here = os.path.abspath(os.path.dirname(__file__))


@pytest.mark.skipif(
    sys.platform in ["darwin", "win32"] or skip_openai,
    reason="do not run on MacOS or windows OR " + reason,
)
def test_ai_user_proxy_agent():
    conversations = {}
    # autogen.ChatCompletion.start_logging(conversations)

    config_list = autogen.config_list_from_json(
        OAI_CONFIG_LIST,
        file_location=KEY_LOC,
        filter_dict={"tags": ["gpt-3.5-turbo"]},
    )
    assistant = AssistantAgent(
        "assistant",
        system_message="You are a helpful assistant.",
        llm_config={
            "timeout": 600,
            "cache_seed": 42,
            "config_list": config_list,
        },
    )

    ai_user_proxy = UserProxyAgent(
        name="ai_user",
        human_input_mode="NEVER",
        max_consecutive_auto_reply=2,
        code_execution_config=False,
        llm_config={
            "config_list": config_list,
        },
        # In the system message the "user" always refers to the other agent.
        system_message="You ask a user for help. You check the answer from the user and provide feedback.",
    )
    assistant.reset()

    math_problem = "$x^3=125$. What is x?"
    res = ai_user_proxy.initiate_chat(
        assistant,
        message=math_problem,
    )
    print(conversations)
    print("Result summary:", res.summary)


@pytest.mark.skipif(skip_openai, reason=reason)
def test_gpt35(human_input_mode="NEVER", max_consecutive_auto_reply=5):
    config_list = autogen.config_list_from_json(
        OAI_CONFIG_LIST,
        file_location=KEY_LOC,
        filter_dict={"tags": ["gpt-3.5-turbo", "gpt-3.5-turbo-16k"]},
    )
    llm_config = {
        "cache_seed": 42,
        "config_list": config_list,
        "max_tokens": 1024,
    }
    assistant = AssistantAgent(
        "coding_agent",
        llm_config=llm_config,
    )
    user = UserProxyAgent(
        "user",
        human_input_mode=human_input_mode,
        is_termination_msg=lambda x: x.get("content", "").rstrip().endswith("TERMINATE"),
        max_consecutive_auto_reply=max_consecutive_auto_reply,
        code_execution_config={
            "work_dir": f"{here}/test_agent_scripts",
            "use_docker": "python:3",
            "timeout": 60,
        },
        llm_config=llm_config,
        system_message="""Is code provided but not enclosed in ``` blocks?
If so, remind that code blocks need to be enclosed in ``` blocks.
Reply TERMINATE to end the conversation if the task is finished. Don't say appreciation.
If "Thank you" or "You\'re welcome" are said in the conversation, then say TERMINATE and that is your last message.""",
    )
    user.initiate_chat(assistant, message="TERMINATE")
    # should terminate without sending any message
    assert assistant.last_message()["content"] == assistant.last_message(user)["content"] == "TERMINATE"
    coding_task = "Print hello world to a file called hello.txt"
    user.initiate_chat(assistant, message=coding_task)
    # coding_task = "Create a powerpoint with the text hello world in it."
    # assistant.receive(coding_task, user)
    coding_task = "Save a pandas df with 3 rows and 3 columns to disk."
    user.initiate_chat(assistant, message=coding_task)
    assert not isinstance(user.use_docker, bool)  # None or str


@pytest.mark.skipif(skip_openai, reason=reason)
def test_create_execute_script(human_input_mode="NEVER", max_consecutive_auto_reply=3):
    config_list = autogen.config_list_from_json(
        OAI_CONFIG_LIST,
        file_location=KEY_LOC,
        filter_dict={"tags": ["gpt-3.5-turbo"]},
    )
    conversations = {}
    # autogen.ChatCompletion.start_logging(conversations)
    llm_config = {
        "timeout": 600,
        "cache_seed": 42,
        "config_list": config_list,
    }
    assistant = AssistantAgent(
        "assistant",
        llm_config=llm_config,
    )
    user = UserProxyAgent(
        "user",
        human_input_mode=human_input_mode,
        max_consecutive_auto_reply=max_consecutive_auto_reply,
        is_termination_msg=lambda x: x.get("content", "").rstrip().endswith("TERMINATE"),
    )
    user.initiate_chat(
        assistant,
        message="""Create and execute a script to plot a rocket without using matplotlib""",
    )
    assistant.reset()
    user = UserProxyAgent(
        "user",
        human_input_mode=human_input_mode,
        code_execution_config={"work_dir": f"{here}/test_agent_scripts"},
        max_consecutive_auto_reply=max_consecutive_auto_reply,
        is_termination_msg=lambda x: x.get("content", "").rstrip().endswith("TERMINATE"),
    )
    res = user.initiate_chat(
        assistant,
        message="""Create a temp.py file with the following content:
```
print('Hello world!')
```""",
    )
    print(conversations)
    print("Result summary:", res.summary)
    # autogen.ChatCompletion.print_usage_summary()
    # autogen.ChatCompletion.start_logging(compact=False)
    user.send("""Execute temp.py""", assistant)
    # print(autogen.ChatCompletion.logged_history)
    # autogen.ChatCompletion.print_usage_summary()
    # autogen.ChatCompletion.stop_logging()


@pytest.mark.skipif(skip_openai, reason=reason)
def test_tsp(human_input_mode="NEVER", max_consecutive_auto_reply=2):
    config_list = autogen.config_list_from_json(
        OAI_CONFIG_LIST,
        file_location=KEY_LOC,
        filter_dict={
            "tags": ["gpt-4", "gpt-4-32k"],
        },
    )
    hard_questions = [
        "What if we must go from node 1 to node 2?",
        "Can we double all distances?",
        "Can we add a new point to the graph? It's distance should be randomly between 0 - 5 to each of the existing points.",
    ]

    def tsp_message(sender, recipient, context):
        filename = context.get("prompt_filename", "")
        with open(filename, "r") as f:
            prompt = f.read()
        question = context.get("question", "")
        return prompt.format(question=question)

    # autogen.ChatCompletion.start_logging()
    assistant = AssistantAgent("assistant", llm_config={"temperature": 0, "config_list": config_list})
    user = UserProxyAgent(
        "user",
        code_execution_config={
            "work_dir": here,
        },
        human_input_mode=human_input_mode,
        max_consecutive_auto_reply=max_consecutive_auto_reply,
    )
    chat_res = user.initiate_chat(
        assistant, message=tsp_message, question=hard_questions[2], prompt_filename=f"{here}/tsp_prompt.txt"
    )
    # print(autogen.ChatCompletion.logged_history)
    # autogen.ChatCompletion.stop_logging()
    # print(chat_res.summary)
    print(chat_res.cost)


if __name__ == "__main__":
    # test_gpt35()
    # test_create_execute_script(human_input_mode="TERMINATE")
    # when GPT-4, i.e., the DEFAULT_MODEL, is used, conversation in the following test
    # should terminate in 2-3 rounds of interactions (because is_termination_msg should be true after 2-3 rounds)
    # although the max_consecutive_auto_reply is set to 10.
    test_tsp(human_input_mode="NEVER", max_consecutive_auto_reply=2)
    # test_ai_user_proxy_agent()
